Facts:
The project is financed by Vinnova and runs during 2020-2022.
DiCyano will develop an AI tool that can be used by the water industry for early warning of harmful cyanobacterial blooms.
Read more on the official website of DiCyano.
Lund University coordinates the project. Stephan Köhler and Hampus Markensten participates from the Department of Aquatic Sciences and Assessment.
The project is financed by Vinnova and runs during 2020-2022.